Objective This study aimed to identify new biomarkers for ovarian cancer screening based
on bioinformatics analysis and q-PCR validation. Methods In total, five independent ovarian …

Background Ovarian cancer (OC) ranks fifth as a cause of gynecological cancer-associated
death globally. Until now, the molecular mechanisms underlying the tumorigenesis and …

Background This study aimed to identify the hub genes associated with prognosis of patients
with ovarian cancer by using integrated bioinformatics analysis and experimental validation …

Background: Ovarian cancer (OC) is the most lethal malignancy among gynecological
cancers worldwide. It is urgent to identify effective biomarkers for the prognosis and …

Ovarian cancer (OC) is a lethal and highly prevalent disease in women worldwide. The
disease is often diagnosed in late stages, which leads to its rapid progression and low …

This study aimed to identify hub genes and drugs for ovarian cancer (OC) using
bioinformatics analysis. Gene expression data and clinical information were downloaded …

Background: Ovarian cancer is a common cancer that affects the quality of women's life. With
the limitation of the early diagnosis of the disease, ovarian cancer has a high mortality rate …

Cancer is the most deadly disease that causes death. Most likely, cancer is a problem in
developed nations, with liver cancer coming in third in terms of mortality rates globally. Other …

Ovarian cancer (OC) is the most lethal gynaecological malignancy, characterized by high
recurrence and mortality. However, the mechanisms of its pathogenesis remain largely …

Objective The current research was aimed to identify candidate genes associated with
development and progression of epithelial ovarian carcinoma using bioinformatics analysis …